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CN-122021457-A - Optimal design method and system for sole of strong-water-guiding wading shoe

CN122021457ACN 122021457 ACN122021457 ACN 122021457ACN-122021457-A

Abstract

The application discloses an optimal design method and system for soles of strongly water-guiding wading shoes, which belong to the technical field of computers, and can solve the problems of sediment attachment blockage, biological breeding friction attenuation, intelligent material response delay and the like caused by single simulation dimension in the traditional design method by introducing multi-dimensional environment parameters such as pH value, dissolved oxygen, water temperature and the like and constructing a multi-stage simulation and optimization flow. Therefore, the dynamic collaborative optimization of the sole drainage function and the anti-skid ground grabbing force is realized, the actual drainage efficiency and the anti-skid ground grabbing force of the sole of the wading shoe can meet the performance requirements in the complex water area environment, and the full-field Jing Jiang water guiding performance of the sole is improved.

Inventors

  • CHEN LINGLONG

Assignees

  • 杭州牧童品牌管理有限公司

Dates

Publication Date
20260512
Application Date
20260326

Claims (10)

  1. 1. An optimal design method of a sole of a strong-water-guiding wading shoe is characterized by comprising the following steps: acquiring an environmental parameter set of a target water area as a simulation input condition, wherein the environmental parameter set comprises a pH value, a dissolved oxygen amount and a water temperature; based on the environment parameter set and the preset reference water guide channel structure parameters, performing physical stress mechanism simulation, analyzing the action paths and failure modes of different water quality parameters on the sole drainage function and the anti-skid function, and generating physical stress mapping relations with physical corresponding relations with the water quality parameters; Based on the physical stress mapping relation and inherent response characteristic data preset in a stimulus response material database, response behavior simulation is carried out, collaborative mapping between response intention and material behavior is carried out, and a collaborative optimization target set containing hydrophobic enhancement constraint, friction lifting constraint and aperture compensation constraint is generated; And carrying out fluid-solid coupling simulation based on the collaborative optimization target set and the environment parameter set, carrying out parameterized iterative optimization on the width, depth and density of the flow channel of the sole water guide flow channel structure, and outputting optimized sole configuration parameters of which the drainage efficiency and the anti-skid grip under the target water area meet dynamic collaborative constraint.
  2. 2. The method according to claim 1, wherein the performing physical stress mechanism simulation based on the environmental parameter set and the preset reference water diversion channel structure parameter, analyzing the action paths and failure modes of different water quality parameters on the sole drainage function and the anti-skid function, and generating a physical stress mapping relation with physical correspondence relation with each water quality parameter includes: simulating the pH value in the environmental parameter set, analyzing the time-varying influence of sediment adsorption behavior caused by pH value change on the through-flow cross section of the water guide channel, and generating a pH value driven sediment attachment stress path; simulating the dissolved oxygen in the environmental parameter set, analyzing a time-varying attenuation rule of the surface friction coefficient of the biological adhesion behavior triggered by the change of the dissolved oxygen, and generating a biological adhesion stress path driven by the dissolved oxygen; Simulating the water temperature in the environmental parameter set, analyzing the influence of the change of the phase change response rate of the shape memory alloy in the drain hole caused by the change of the water temperature on the dynamic adjustment performance of the drain hole, and generating a phase change hysteresis stress path driven by the water temperature; And performing coupling effect analysis on the sediment adhesion stress path driven by the pH value, the biological adhesion stress path driven by the dissolved oxygen and the phase change hysteresis stress path driven by the water temperature, respectively defining response target constraints corresponding to all water quality parameters, and generating the physical stress mapping relation comprising the hydrophobic enhancement constraint, the friction lifting constraint and the aperture compensation constraint.
  3. 3. The method of claim 2, wherein simulating the pH in the environmental parameter set analyzes a time-varying effect of sediment adsorption behavior induced by pH change on a cross-sectional area of the water guide channel, and generates a pH-driven sediment attachment stress path, comprising: Determining interface charge state parameters based on the pH value in the environmental parameter set, and extracting surface roughness characteristics of the flow channel wall surface and flow channel hydraulic diameter characteristics from the reference water guide flow channel structure parameters; Constructing an adhesion potential energy model of sediment particles on the wall surface of the flow channel based on the interface charge state parameter, the surface roughness characteristic and the flow channel hydraulic diameter characteristic, and obtaining an attenuation curve of the through-flow cross section through dynamic simulation; And reversely pushing out a critical pH value range and adhesion stress intensity grades corresponding to different pH value intervals based on the attenuation curve of the through flow cross section and a preset blockage failure threshold value to serve as a sediment adhesion stress path driven by the pH value.
  4. 4. The method of claim 2, wherein simulating the water temperature in the environmental parameter set analyzes the influence of the change of the phase change response rate of the shape memory alloy in the drain hole caused by the change of the water temperature on the dynamic adjustment performance of the drain hole, and generates a water temperature driven phase change hysteresis stress path, comprising: Determining phase change driving level parameters of the shape memory alloy in the drain hole based on the water temperature in the environmental parameter set, and extracting distribution density characteristics and initial aperture characteristics of the shape memory alloy elements around the drain hole from the reference water guide channel structure parameters; Based on the phase change driving level parameters, the distribution density characteristics and the initial aperture characteristics, a dynamic mapping model between water temperature and shape memory alloy phase change response is constructed, and a response delay time and an adjustment error curve are obtained through transient simulation; And based on the response delay time, the adjustment error curve and a preset adjustment efficiency failure threshold value, reversely pushing out a critical water temperature range and the phase change hysteresis stress intensity grades corresponding to different water temperature intervals to serve as a phase change hysteresis stress path driven by the water temperature.
  5. 5. The method of claim 1, wherein the performing response behavior simulation based on the physical stress mapping relationship and intrinsic response characteristic data preset in a stimulus response material database, performing collaborative mapping between response intention and material behavior, and generating a collaborative optimization objective set including a hydrophobicity enhancement constraint, a friction enhancement constraint, and an aperture compensation constraint, comprises: extracting the hydrophobic enhancement constraint, the friction lifting constraint and the aperture compensation constraint from the physical stress mapping relationship; Reading intrinsic response characteristic data corresponding to each constraint from the stimulus-responsive material database, wherein the intrinsic response characteristic data comprise a contact angle adjusting range of the pH responsive super-hydrophobic coating, a friction coefficient adjusting range of the dissolved oxygen responsive anti-skid structure and a phase change response characteristic curve of the shape memory alloy in the drain hole; Performing first collaborative mapping simulation based on the hydrophobic enhancement constraint and the contact angle adjustment range, determining a target contact angle required to be achieved under the current pH value and the required activation degree of the coating, and obtaining a first collaborative mapping result; Performing second collaborative mapping simulation based on the friction lifting constraint and the friction coefficient adjusting range, determining a target friction coefficient required to be achieved under the current dissolved oxygen amount and a required hydrogel chain conformational change degree, and obtaining a second collaborative mapping result; Performing third collaborative mapping simulation based on the aperture compensation constraint, the phase change response characteristic curve and the water temperature in the environment parameter set, determining a target aperture adjustment quantity required to be compensated and a required auxiliary heating strategy under the current water temperature, and obtaining a third collaborative mapping result; and carrying out target integration on the first collaborative mapping result, the second collaborative mapping result and the third collaborative mapping result to generate the collaborative optimization target set.
  6. 6. The method of claim 5, wherein the performing a first co-mapping simulation based on the hydrophobic enhancement constraint and the contact angle adjustment range to determine a target contact angle and a desired activation level of the coating to be achieved at the current pH value, and obtaining a first co-mapping result comprises: extracting a desired contact angle threshold value and a hydrophobic response time requirement from the hydrophobic enhancement constraint, and reading the maximum contact angle values and response speed characteristic curves of the coating under different activation degrees from the contact angle adjustment range; Determining a coating activation degree interval according to the comparison of the expected contact angle threshold value and the maximum contact angle value, and correcting by combining the current pH value and the pH response characteristic curve to obtain a corresponding activation degree value; Verifying whether the hydrophobic response time requirement can be met under the activation degree of the coating, and obtaining the target contact angle and the activation degree of the coating after adjustment according to a verification result.
  7. 7. The method of claim 5, wherein the performing a third collaborative mapping simulation based on the pore size compensation constraint, the phase change response curve, and the water temperature in the environmental parameter set to determine a target pore size adjustment to be compensated and a required auxiliary heating strategy at a current water temperature, and obtaining a third collaborative mapping result comprises: Extracting a desired aperture adjustment range and aperture compensation response time requirements from the aperture compensation constraint, and reading the maximum aperture adjustment amount and phase change rate characteristics of the shape memory alloy at different temperatures from the phase change response characteristic curve; Determining a target aperture adjustment amount to be achieved at an ideal temperature according to the comparison of the expected aperture adjustment range and the maximum aperture adjustment amount; temperature effect correction is carried out by combining the current water temperature and the phase change response characteristic curve, the actual aperture adjustment quantity which can be automatically achieved under the current water temperature is calculated, and the difference value is determined as the adjustment quantity which needs to be compensated; And formulating an auxiliary heating strategy comprising heating power density, heating duration and heating start time according to the compensation adjustment quantity and aperture compensation response time requirements to obtain a target aperture adjustment quantity and an auxiliary heating strategy.
  8. 8. The method of claim 1, wherein the performing fluid-solid coupling simulation based on the collaborative optimization target set and the environmental parameter set performs parametric iterative optimization on the runner width, depth and density of the sole water guide runner structure, and outputs optimized sole configuration parameters that satisfy dynamic collaborative constraints on drainage efficiency and anti-skid grip in the target water area, including: Extracting a target contact angle of the pH responsive superhydrophobic coating at the current pH value, a target friction coefficient of the dissolved oxygen responsive anti-skid structure at the current dissolved oxygen amount and a target aperture of the drain hole at the current water temperature from the collaborative optimization target set, and taking the target contact angle, the target friction coefficient and the target aperture as performance constraint boundary conditions of fluid-solid coupling simulation; Constructing a fluid-solid coupling simulation model of the sole water guide channel based on the environmental parameter set and the performance constraint boundary condition; Taking the maximum drainage efficiency and the anti-skid ground grabbing force as optimization targets and taking the sole grounding area as constraint conditions, and carrying out parameterized iterative optimization on the width, the depth and the density of the flow channel by a multi-target optimization algorithm to obtain a flow channel geometric parameter combination; outputting the geometric parameter combination of the runner as an optimized sole configuration parameter for realizing the full-scene strong water guiding performance under the target water area.
  9. 9. The method of claim 8, wherein said outputting the runner geometry combination as optimized sole configuration parameters that achieve full scene strong water conductivity under the target water area comprises: according to the pressure distribution characteristics of the sole half sole region, the arch region and the heel region, the width, depth and density of the runner in the runner geometric parameter combination are respectively mapped to each sole partition to obtain partition runner design parameters; generating a central line path distribution map of the runners in each subarea based on the subarea runner design parameters and a preset runner trend topological rule; And carrying out three-dimensional geometric modeling on the central line path distribution diagram to generate optimized sole configuration parameters comprising a runner three-dimensional topological structure.
  10. 10. An optimal design system for a sole of a strongly water-conducting wading shoe, the system comprising: the acquisition module is used for acquiring an environmental parameter set of the target water area as a simulation input condition, wherein the environmental parameter set comprises a pH value, dissolved oxygen and water temperature; The analysis module is used for carrying out physical stress mechanism simulation based on the environment parameter set and the preset reference water guide channel structure parameter, analyzing the action paths and failure modes of different water quality parameters on the sole drainage function and the anti-skid function, and generating a physical stress mapping relation with physical corresponding relation with each water quality parameter; The simulation module is used for performing response behavior simulation based on the physical stress mapping relation and inherent response characteristic data preset in the stimulus response material database, performing cooperative mapping between response intention and material behavior, and generating a cooperative optimization target set containing hydrophobic enhancement constraint, friction lifting constraint and aperture compensation constraint; And the output module is used for carrying out fluid-solid coupling simulation based on the collaborative optimization target set and the environment parameter set, carrying out parameterized iterative optimization on the width, depth and density of the flow channel of the sole water guide flow channel structure, and outputting the optimized sole configuration parameters of which the drainage efficiency and the anti-skid grip under the target water area meet the dynamic collaborative constraint.

Description

Optimal design method and system for sole of strong-water-guiding wading shoe Technical Field The application relates to the technical field of computers, in particular to an optimal design method and system for soles of strongly-water-guiding wading shoes. Background The existing design method of the sole of the wading shoe mainly depends on an empirical formula and a static physical model, and the drainage function is realized through the preset geometric parameters of the water guide channel. For example, chinese patent CN202520889892.9 discloses a double-valve negative-pressure drainage exhaust battle boot, whose runner parameters are determined empirically, and the dynamic change of the actual use environment is not considered in the design process. In recent years, the academic world develops a sole performance prediction method based on finite element simulation, but the method can only simulate the action of a single physical field, and cannot couple the comprehensive influence of environmental chemical parameters on sole materials and structures. The common defects of the existing design method are that the simulation dimension is single, only the influence of physical parameters such as water depth, flow rate and the like on the drainage performance is considered, and the potential interference mechanism of complex chemical factors in the real water on the sole function is ignored. The designer can not pre-judge the adhesion blocking effect of sediment particles to the water guide channel in the acid environment in the simulation stage, and can not quantify the friction attenuation rule of the anti-slip surface caused by aquatic organism breeding in the anoxic water area, so that the hysteresis influence of water temperature change on the response speed of the intelligent driving material is more difficult to evaluate. The actual drainage efficiency and the anti-skid grip of the designed sole in the complex water area environment have obvious deviation from simulation prediction results. Therefore, how to introduce multidimensional water quality parameters in the simulation design stage, pre-judge stress mechanisms of different water quality environments on the sole drainage and anti-skid functions through a numerical simulation means, and perform parameterized optimization design based on inherent response characteristics of materials so as to improve the strong water guiding performance of the sole under the whole scene, and the method is a technical problem to be solved in the field. Disclosure of Invention The embodiment of the application provides an optimal design method and system for a sole of a strong water-guiding wading shoe, and the technical scheme is as follows: In one aspect, an optimal design method for a sole of a strongly water-guiding wading shoe is provided, and the method comprises the following steps: acquiring an environmental parameter set of a target water area as a simulation input condition, wherein the environmental parameter set comprises a pH value, a dissolved oxygen amount and a water temperature; based on the environment parameter set and the preset reference water guide channel structure parameters, performing physical stress mechanism simulation, analyzing the action paths and failure modes of different water quality parameters on the sole drainage function and the anti-skid function, and generating physical stress mapping relations with physical corresponding relations with the water quality parameters; Based on the physical stress mapping relation and inherent response characteristic data preset in a stimulus response material database, response behavior simulation is carried out, collaborative mapping between response intention and material behavior is carried out, and a collaborative optimization target set containing hydrophobic enhancement constraint, friction lifting constraint and aperture compensation constraint is generated; And carrying out fluid-solid coupling simulation based on the collaborative optimization target set and the environment parameter set, carrying out parameterized iterative optimization on the width, depth and density of the flow channel of the sole water guide flow channel structure, and outputting optimized sole configuration parameters of which the drainage efficiency and the anti-skid grip under the target water area meet dynamic collaborative constraint. In one aspect, an optimal design system for a sole of a strongly water-conducting wading shoe is provided, the system comprising: the acquisition module is used for acquiring an environmental parameter set of the target water area as a simulation input condition, wherein the environmental parameter set comprises a pH value, dissolved oxygen and water temperature; The analysis module is used for carrying out physical stress mechanism simulation based on the environment parameter set and the preset reference water guide channel structure parameter, analyzing the action paths and f